Adaptive fuzzy control for non-strict feedback nonlinear systems with input delay and full state constraints

被引：39

作者：

Yang, Zhongjun ^{[1
]}

Zhang, Xinyu ^{[1
]}

Zong, Xuejun ^{[1
]}

Wang, Guogang ^{[1
]}

机构：

[1] Shenyang Univ Chem Technol, Coll Informat Engn, Shenyang 110142, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 11期

关键词：

BARRIER LYAPUNOV FUNCTIONS; TRACKING CONTROL; TIME-DELAY; UNMODELED DYNAMICS; NEURAL-CONTROL; DEAD-ZONE; SATURATION;

D O I：

10.1016/j.jfranklin.2020.05.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the problem of input delay and full state constraints for non-strict feedback nonlinear systems is studied. The influence of input delay on the control effect is eliminated by the Pade approximation method, and the barrier Lyapunov function (BLF) is adopted to constrain the system states. In the design process, using fuzzy logic systems (FLSs) to estimate the unknown nonlinear functions in the systems. The backstepping method is applied to the design of adaptive fuzzy controller. On the basis of Lyapunov stability theory, the stability of the closed-loop systems is proved, and all variables are semi-globally uniformly ultimately bounded (SGUUB). Two simulation examples verify the performance of the adaptive controller. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：6858 / 6881

页数：24

共 51 条

[1] New formulation of predictors for finite-dimensional linear control systems with input delay [J].

Bresch-Pietri, Delphine ;

Prieur, Christophe ;

Trelat, Emmanuel .

SYSTEMS & CONTROL LETTERS, 2018, 113 :9-16

[2] Observer and Adaptive Fuzzy Control Design for Nonlinear Strict-Feedback Systems With Unknown Virtual Control Coefficients [J].

Chen, Bing ;

Liu, Xiaoping ;

Lin, Chong .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (03) :1732-1743

[3] Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form [J].

Chen, Bing ;

Lin, Chong ;

Liu, Xiaoping ;

Liu, Kefu .

IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (12) :2744-2755

[4] Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach [J].

Chen, Bing ;

Liu, Xiaoping P. ;

Ge, Shuzhi Sam ;

Lin, Chong .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (06) :1012-1021

[5] Adaptive tracking control for uncertain switched stochastic nonlinear pure-feedback systems with unknown backlash-like hysteresis [J].

Cui, Guozeng ;

Xu, Shengyuan ;

Zhang, Baoyong ;

Lu, Junwei ;

Li, Ze ;

Zhang, Zhengqiang .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (04) :1801-1818

[6] Synthetic adaptive fuzzy tracking control for MIMO uncertain nonlinear systems with disturbance observer [J].

Cui, Yang ;

Zhang, Huaguang ;

Qu, Qiuxia ;

Luo, Chaomin .

NEUROCOMPUTING, 2017, 249 :191-201

[7] Integrator backstepping control of a brush DC motor turning a robotic load [J].

Dawson, D.M. ;

Carroll, J.J. ;

Schneider, M. .

IEEE Transactions on Control Systems Technology, 1994, 2 (03) :233-244

[8] Disturbance Compensation With Finite Spectrum Assignment for Plants With Input Delay [J].

Furtat, Igor ;

Fridman, Emilia ;

Fradkov, Alexander .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (01) :298-305

[9] Adaptive neural control of stochastic nonlinear systems with unmodeled dynamics and time-varying state delays [J].

Gao, Huating ;

Zhang, Tianping ;

Xia, Xiaonan .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2014, 351 (06) :3182-3199

[10] Distributed robust adaptive control of high order nonlinear multi agent systems [J].

Hashemi, Mahnaz ;

Shahgholian, Ghazanfar .

ISA TRANSACTIONS, 2018, 74 :14-27

← 1 2 3 4 5 6 →